Description

Theory
2

Laboratory
2

Instructors

Ramiro Barbosa

Contents

1 - Development of empirical models from experimental data (CP1)
2 - Control (CP2)
3 - Neural networks (CP3)
4 - Selected topics of artificial intelligence (CP4):
- Machine learning
- Deep learning
- Reinforcement learning

Learning Outcomes

The students will learn how to apply modern control strategies. (OB1)
Specific objectives are:
- Knowledge and understanding of neural networks and their application in control systems (OB2)
- Knowledge and understanding of emerging scientific areas such as machine learning, deep learning, and reinforcement learning (OB3)
- Ability to apply techniques based on control systems and techniques based on artificial intelligence (OB4)
- Ability to evaluate and test the system performance using computer-aided tools (OB5)